Alternatives and similar repositories for EvolutionaryComputation-A-Modern-Perspective-ECAMP

Users that are interested in EvolutionaryComputation-A-Modern-Perspective-ECAMP are comparing it to the libraries listed below

• Evolutionary-Intelligence / DistributedEvolutionaryComputation
  A (still growing) paper list of Evolutionary Computation (EC) published in some (rather all) top-tier (and also EC-focused) journals and …
  ☆146Updated last week
• Evolutionary-Intelligence / dpop7
  A ray-based library of Distributed POPulation-based OPtimization for Large-Scale Black-Box Optimization.
  ☆18Updated last year
• Evolutionary-Intelligence / pypop
  [JMLR (CCF-A)] PyPop7: A Pure-PYthon LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* algorithm varian…
  ☆272Updated this week
• MetaEvo / psc4MetaBBO
  ☆48Updated last year
• MetaEvo / MetaBox
  MetaBox: Benchmarking Platform for Meta-Black-Box Optimization
  ☆156Updated 2 months ago
• hengzhe-zhang / awesome-genetic-programming
  A curated list of resources for genetic programming.
  ☆62Updated last year
• Xi-L / PSL-MOBO
  ☆36Updated 2 years ago
• ryojitanabe / reproblems
  A set of real-world multi-objective optimization problems
  ☆56Updated 4 years ago
• EMI-Group / GMOEA
  Official implementation of GMOEA.
  ☆47Updated 5 years ago
• MetaEvo / Awesome-MetaBBO
  A collection of MetaBBO papers and code sources
  ☆93Updated last week
• XAI-liacs / LLaMEA
  Large Language Model Evolutionary Algorithm
  ☆86Updated 2 weeks ago
• Xi-L / PMOCO
  Code for ICLR2022 Paper: Pareto Set Learning for Neural Multi-objective Combinatorial Optimization
  ☆67Updated 3 years ago
• FeiLiu36 / EoH
  Evolution of Heuristics
  ☆248Updated 3 months ago
• FeiLiu36 / MTNCO
  multi-task learning for routing problem
  ☆22Updated 3 weeks ago
• wuxingyu-ai / LLM4EC
  A list of awesome papers and resources of the intersection of Large Language Models and Evolutionary Computation.
  ☆123Updated 9 months ago
• yeshenpy / ERL-Re2
  This is the official implementation of ERL-Re2.
  ☆73Updated last year
• lamda-bbo / MCTS-VS
  Official implementation of NeurIPS'22 paper "Monte Carlo Tree Search based Variable Selection for High-Dimensional Bayesian Optimization"
  ☆42Updated 2 years ago
• xiaofangxd / Multitasking-Optimization
  Summary of Multitasking Optimization
  ☆91Updated last year
• cwfparsonson / retro_branching
  Learning to branch with reinforcement learning using retrospective trajectories for exact combinatorial optimisation.
  ☆37Updated 2 years ago
• henry-yeh / DeepACO
  [NeurIPS 2023] DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization
  ☆179Updated last year
• lascavana / rl2branch
  ☆20Updated last year
• xyfffff / rethink_mcts_for_tsp
  [ICML'24 Oral] Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems
  ☆40Updated 8 months ago
• apourchot / ERL-pytorch
  Combining Evolutionary Algorithms and deep Reinforcement Learning
  ☆18Updated 7 years ago
• proroklab / gnngls
  Code accompanying the paper Graph Neural Network Guided Local Search for the Traveling Salesperson Problem
  ☆29Updated 2 years ago
• instadeepai / poppy
  Population-Based Reinforcement Learning for Combinatorial Optimization
  ☆86Updated last year
• locuslab / DC3
  DC3: A Learning Method for Optimization with Hard Constraints
  ☆168Updated 4 years ago
• HandingWang / DDMOP
  Competition on Online Data-Driven Multi-Objective Optimization
  ☆26Updated 6 years ago
• cpwan / RLOR
  Reinforcement learning for operation research problems with OpenAI Gym and CleanRL
  ☆121Updated 2 years ago
• auto4opt / AutoOpt
  A library for automatically designing metaheuristic optimizers.
  ☆23Updated last month
• rlopt / l2i
  ☆109Updated 5 years ago